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GeminiLight GeminiLight
from GitHub Docs & Knowledge
明多斯 文档 工具

mindos-zh

MindOS 知识库中文操作指南，仅用于 MindOS 知识库内的 Agent 任务。 仅当操作目标是 MindOS 知识库目录下的文件时触发，典型请求包括"更新笔记""搜索知识库" "整理文件""执行 SOP""按团队标准 review""把任务交接给另一个 Agent""同步决策" "追加 CSV""复盘这段对话""提炼关键经验""把复盘结果自适应更新到对应文档" "把这些信息路由到对应文件""同步更新所有相关文档"等。 不触发：操作目标是本地代码仓库文件（如 /code/xxx/wiki/*.md）、 用户给出的是绝对路径且不在 MindOS mindRoot 下、或任务是修改项目源码/文档。 --- # MindOS Skill 按以下规则执行用户任务。 用户个性化规则（`user-skill-rules.md`）在 bootstrap 上下文中自动包含（若文件存在）。 用户规则在冲突时覆盖默认规则。 --- <!-- version: 1.0.0 --> # MindOS 操作规则 ## 核心原则 - 以仓库当前状态为唯一依据。 - **bootstrap 加载的目录树是一等语义资产。** 目录名、文件名及其层级结构编码了用户存了什么、如何组织思维。在调用搜索之前，先从这个结构推断内容位置——它往往不需要任何工具调用就能告诉你答案。 - 写入前先读取。 - 优先最小化、精确化修改。 - 变更结果应易于审阅与追踪。 ## 启动协议 在进行实质编辑前执行以下流程： 1. 加载根级规则。 - 优先调用 `mindos_bootstrap`。 - 若不可用，直接读取根 `INSTRUCTION.md` 与根 `README.md`。 2. 动态发现当前结构。 - 使用 `mindos_list_files` 与按需 `mindos_search_notes`。 - 不假设固定一级目录名。 3. 加载目标路径附近的局部规则。 - 若存在，读取就近 `README.md` / `INSTRUCTION.md`。 - 优先遵循局部约定，而非全局假设。 4. 再执行编辑。 若关键上下文缺失，按最佳努力继续，并明确写出假设。 ## 动态结构规则 - 不硬编码"标准目录树"。 - 创建或重写内容前，先从相邻文件推断约定。 - 命名、标题结构、CSV 字段顺序、引用格式均优先复用现有模式。 - 新建文件优先跟随同级风格，不引入新标准。 - **除非用户明确要求，不在根目录下创建文件或子目录。** 根目录仅保留顶层治理文件（README、INSTRUCTION、CONFIG）。新内容应放在语义最匹配的现有子目录下，从上下文中的目录树推断合适位置。 - 创建新文件或目录时，先根据现有结构确定最佳父目录。若没有明显匹配的目录，提出 1-2 个候选位置并询问用户后再创建。 - **文件增删/移动/重命名后，必须同步更新受影响的 README 文件。** README 是目录的索引与导航入口，任何改变目录内容的操作都应自动检查并更新对应目录及其父目录的 README。 ## 写前检查清单 在任何非 trivial 写入前，确认以下检查项： 1. 目标文件或路径已确认，且存在或应当创建。 2. **目标位置在合适的子目录下，而非根目录。** 若不确定哪个目录最合适，先提出候选并询问用户。 3. 现有内容已读取，或已明确确认不存在。 4. 已考虑目标路径附近的治理文档。 5. 修改范围最小化，且与用户意图一致。 6. 路径变更带来的引用/反链影响已评估。 ## 工具选型指南 ### 发现 - `mindos_bootstrap`：加载启动上下文。 - `mindos_list_files`：查看文件树。 - `mindos_search_notes`：按关键词/范围/类型/日期定位文件。**搜索时，第一次就应并行发起多个关键词搜索**——同义词、缩写、中英文变体、更宽/更窄的表述。单一关键词很脆弱，一开始就撒网能避免多轮空搜。 - `mindos_get_recent`：查看近期活动。 - `mindos_get_backlinks`：重命名/移动/删除前评估影响。 ### 读写 - `mindos_read_file`：读取文件内容。 - `mindos_write_file`：仅在确需整文件替换时使用。 - `mindos_create_file`：创建 `.md`/`.csv` 文件。 - `mindos_delete_file`：仅在用户明确意图下删除。 - `mindos_rename_file`、`mindos_move_file`：结构变更后补做引用检查。 ### 精确编辑 - `mindos_read_lines`：定位精确行。 - `

⬇0 ❤90 12 days ago · Uploaded Detail →
openxjarvis openxjarvis
from GitHub Tools & Productivity
文档 abc123def 工具

feishu-doc

飞书文档读写操作+评论管理。当用户提及飞书文档、云文档、docx链接或文档评论时激活。 --- # 飞书文档工具 单一工具“feishu_doc”，带有action参数，可用于所有文档操作，包括评论管理。 ## 从 URL `https://xxx.feishu.cn/docx/ABC123def` → `doc_token` = `ABC123def` 从 URL `https://xxx.feishu.cn/docs/doccn123c` → `doc_token` = `doccn123c` ## 操作 ### 读取文档 ```json { "action": "read", "doc_token": "ABC123def" } ```

⬇0 ❤47 8 days ago · Uploaded Detail →
aliyun aliyun
from GitHub Databases & Storage
数据库 分析数据库 工具

alibabacloud-adb-mysql-copilot

阿里云 AnalyticDB for MySQL 运维诊断助手。支持集群信息查询、性能监控、慢查询诊断、运行中SQL分析、表级优化建议等。当用户提到 ADB MySQL、AnalyticDB、慢查询、SQL 诊断、集群性能、查询RT、BadSQL、数据库优化、表分析、分区诊断、数据倾斜等话题时，应该使用该 Skill。即使用户没有明确说"使用 Skill"，只要涉及 ADB MySQL 相关的运维、诊断或监控问题，也应主动使用。

⬇0 ❤26 12 days ago · Uploaded Detail →
krzysztofsurdy krzysztofsurdy
from GitHub Development & Coding
Python 图案 工具

django-components

Comprehensive reference for all 33 Django framework components with Python 3.10+ and Django 6.0 patterns. Use when the user asks to implement, configure, or troubleshoot any Django component including Models, QuerySets, Views, Templates, Forms, Admin, Authentication, Caching, Testing, Middleware, Signals, or Deployment. Covers ORM patterns, class-based views, template tags, form validation, admin customization, async support, and Django best practices.

⬇0 ❤13 16 days ago · Uploaded Detail →
gpshead gpshead
from GitHub Development & Coding
Python 测试 工具

build

Use this skill when you need to compile CPython, run tests, verify your changes work, check if a fix is correct, or debug test failures. Covers building from source with ./configure and make, ccache for faster rebuilds, Argument Clinic regeneration, and the unittest-based test system (NOT pytest). Essential for any task that requires running code or tests.

⬇0 ❤10 15 days ago · Uploaded Detail →
cuowuxuexi cuowuxuexi
from GitHub Tools & Productivity
文档 abc123def 工具

feishu-doc

飞书文档读写操作。当用户提及飞书文档、云文档或docx链接时激活。 --- # 飞书文档工具 单个工具`feishu_doc`，带有action参数，用于所有文档操作。 ## 从 URL 中提取 Token `https://xxx.feishu.cn/docx/ABC123def` → `doc_token` = `ABC123def` ## 操作 ### 读取文档 ```json { "action": "read", "doc_token": "ABC123def" } ```

⬇0 ❤9 12 days ago · Uploaded Detail →
JasonFang1993 JasonFang1993
from GitHub Tools & Productivity
文档 abc123def 工具

feishu-doc

飞书文档读写操作。当用户提及飞书文档、云文档或docx链接时激活。 --- # 飞书文档工具 单一工具“feishu_doc”，带有action参数，可用于所有文档操作，包括Docx建表。 ## 从 URL 中提取 Token `https://xxx.feishu.cn/docx/ABC123def` → `doc_token` = `ABC123def` ## 操作 ### 读取文档 ```json { "action": "read", "doc_token": "ABC123def" } ```

⬇0 ❤5 16 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up